code: def get_num_output_nodes(self, inp_size):
      temp_input = tf.convert_to_tensor(
          [tf.random.uniform([inp_size])], dtype=tf.float32
      )
      return self.get_output(temp_input)
  
file_path: DiCE/dice_ml/model_interfaces/keras_tensorflow_model.py
imports: import tensorflow
  from tensorflow import keras
  from dice_ml.model_interfaces.base_model import BaseModel
label_desc: Use image node_id 5 for calling the KerasTensorFlowModel obj's underlying member method code with example usage: obj.get_num_output_nodes(inp_size) and returns: self